#eval=params$runcodebooks

eas_18 %>%
    select_if(~sum(!is.na(.)) > 0) %>% #removes empty columns
codebook(eas_18, survey_repetition = "single", metadata_table = TRUE)

Metadata

Description

Dataset name: .

The dataset has N=2601 rows and 219 columns. 0 rows have no missing values on any column.

Metadata for search engines
  • Date published: 2021-03-12
x
heard_ea
sincere
is_ea1
is_ea2
first_heard_EA
involved_tlycs
involved_local_EA
involved_university_EA
involved_ace
involved_ssc
involved_online_ea
involved_personal_contact
involved_80K
involved_GWWC
involved_ea_global
involved_book_blog
involved_swiss
involved_other
which_year_EA
member_ea_fb
member_ea_forum
member_lw
member_tlycs
member_local_group
member_gwwc
gwwc_year
done_80K
know_local_group
want_local_group
ea_volunteer
ea_volunteer_hours
ea_career_shifted_path
ea_career_will_shift_path
ea_career_type
ea_welcoming
cause_import_animal_welfare
cause_import_cause_prioritization
cause_import_biosecurity
cause_import_climate_change
cause_import_nuclear_security
cause_import_ai
cause_import_mental_health
cause_import_poverty
cause_import_rationality
cause_import_meta
cause_import_xrisk_other
extra_cause
currency_donate_1
currency_donate_2
income_2017_household
income_2017_individual
donate_2017
plan_donate_2018
gender
race_white
race_black
race_hispanic
race_native_american
race_pacific_islander
race_asian
country
veg
religion
politics
relationship_status
employed_full_time
employed_part_time
employed_self
employed_looking
employed_not_looking
employed_homemaker
employed_retired
employed_student_part
employed_student_full
education
studied_cs
studied_econ
studied_engineering
studied_math
studied_medicine
studied_psych
studied_phil
studied_physics
studied_humanities
studied_social_science
studied_other_science
studied_vocational
field
referrer_self_report_ea_fb
referrer_self_report_other_fb1
referrer_self_report_other_fb2
referrer_self_report_ea_newsletter
referrer_self_report_ace
referrer_self_report_gwwc
referrer_self_report_friend
referrer_self_report_lw
referrer_self_report_local_group
referrer_self_report_ssc
took_last_year
can_share_my_2017_donations
can_share_my_lifetime_donations
can_share_my_donation_plans
can_share_cea_first_name
no_share_with_cea_80k
no_share_registry
can_share_cea_last_name
can_share_cea_email
want_ea_newsletter
can_share_profile
can_share_profile_donations
can_share_profile_donation_plans
can_share_profile_location
donate_RC_2017
donate_80K_2017
donate_cfar_2017
donate_miri_2017
donate_gf_2017
donate_ace_2017
donate_mfa_2017
donate_cea_2017
donate_dtw_2017
donate_gw_2017
donate_sci_2017
donate_gd_2017
donate_ef_2017
donate_amf_2017
donate_thl_2017
donate_lifetime
how_feel_donate
donation_kind_recurring
donation_kind_eoy
donation_on_demand
cost_effectiveness_ratio
ec_1
pd_1
pd_2
ec_2
pt_1
pd_3
pt_2
maximizing_1
maximizing_2
maximizing_3
maximizing_4
maximizing_7
search_1
search_2
search_7
search_8
search_9
nfc_1
nfc_3
nfc_4
big_five_extraverted_1
big_five_conscientious_1
big_five_open_1
big_five_agreeable_2
big_five_emotionally_stable_2
ea_id
age
currency
donate_2017_c
plan_donate_2018_c
donate_RC_2017_c
donate_80K_2017_c
donate_cfar_2017_c
donate_miri_2017_c
donate_gf_2017_c
donate_ace_2017_c
donate_mfa_2017_c
donate_cea_2017_c
donate_dtw_2017_c
donate_sci_2017_c
donate_gd_2017_c
donate_ef_2017_c
donate_amf_2017_c
donate_thl_2017_c
donate_lifetime_c
income_2017_household_c
income_2017_individual_c
p_donate_2017
cause_import_animal_welfare_b
cause_import_cause_prioritization_b
cause_import_biosecurity_b
cause_import_climate_change_b
cause_import_nuclear_security_b
cause_import_ai_b
cause_import_mental_health_b
cause_import_poverty_b
cause_import_rationality_b
cause_import_meta_b
cause_import_xrisk_other_b
gender_b
veg_b
left
donate_cause_meta_2017_c
donate_cause_cause_pri_2017_c
donate_cause_poverty_2017_c
donate_cause_animal_welfare_2017_c
donate_cause_far_future_2017_c
student
search_subscale
maximizing_subscale
maximizing_scale
nfc_2_r
nfc_scale
big_five_extraverted_2_r
big_five_extraverted_scale
big_five_conscientious_2_r
big_five_conscientious_scale
big_five_agreeable_1_r
big_five_agreeable_scale
big_five_emotionally_stable_1_r
big_five_emotionally_stable_scale
big_five_open_2_r
big_five_open_scale
ec_scale
pd_scale
pt_scale

#Variables

heard_ea

Distribution

Distribution of values for heard_ea

Distribution of values for heard_ea

4 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
heard_ea character 4 1 2 0 2 3 0 NA

sincere

Distribution

Distribution of values for sincere

Distribution of values for sincere

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
sincere character 0 1 1 0 51 51 0 NA

is_ea1

Distribution

Distribution of values for is_ea1

Distribution of values for is_ea1

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
is_ea1 character 0 1 1 0 3 3 0 NA

is_ea2

Distribution

Distribution of values for is_ea2

Distribution of values for is_ea2

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
is_ea2 character 0 1 1 0 3 3 0 NA

first_heard_EA

Distribution

Distribution of values for first_heard_EA

Distribution of values for first_heard_EA

8 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
first_heard_EA character 8 1 18 0 8 51 0 NA

involved_tlycs

Distribution

Distribution of values for involved_tlycs

Distribution of values for involved_tlycs

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
involved_tlycs logical 0 1 FAL: 2392, TRU: 209 0.08 NA

involved_local_EA

Distribution

Distribution of values for involved_local_EA

Distribution of values for involved_local_EA

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
involved_local_EA logical 0 1 FAL: 2196, TRU: 405 0.16 NA

involved_university_EA

Distribution

Distribution of values for involved_university_EA

Distribution of values for involved_university_EA

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
involved_university_EA logical 0 1 FAL: 2304, TRU: 297 0.11 NA

involved_ace

Distribution

Distribution of values for involved_ace

Distribution of values for involved_ace

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
involved_ace logical 0 1 FAL: 2419, TRU: 182 0.07 NA

involved_ssc

Distribution

Distribution of values for involved_ssc

Distribution of values for involved_ssc

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
involved_ssc logical 0 1 FAL: 2154, TRU: 447 0.17 NA

involved_online_ea

Distribution

Distribution of values for involved_online_ea

Distribution of values for involved_online_ea

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
involved_online_ea logical 0 1 FAL: 2035, TRU: 566 0.22 NA

involved_personal_contact

Distribution

Distribution of values for involved_personal_contact

Distribution of values for involved_personal_contact

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
involved_personal_contact logical 0 1 FAL: 1736, TRU: 865 0.33 NA

involved_80K

Distribution

Distribution of values for involved_80K

Distribution of values for involved_80K

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
involved_80K logical 0 1 FAL: 1621, TRU: 980 0.38 NA

involved_GWWC

Distribution

Distribution of values for involved_GWWC

Distribution of values for involved_GWWC

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
involved_GWWC logical 0 1 FAL: 1929, TRU: 672 0.26 NA

involved_ea_global

Distribution

Distribution of values for involved_ea_global

Distribution of values for involved_ea_global

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
involved_ea_global logical 0 1 FAL: 2298, TRU: 303 0.12 NA

involved_book_blog

Distribution

Distribution of values for involved_book_blog

Distribution of values for involved_book_blog

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
involved_book_blog logical 0 1 FAL: 1698, TRU: 903 0.35 NA

involved_swiss

Distribution

Distribution of values for involved_swiss

Distribution of values for involved_swiss

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
involved_swiss logical 0 1 FAL: 2535, TRU: 66 0.03 NA

involved_other

Distribution

Distribution of values for involved_other

Distribution of values for involved_other

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
involved_other logical 0 1 FAL: 2258, TRU: 343 0.13 NA

which_year_EA

Distribution

Distribution of values for which_year_EA

Distribution of values for which_year_EA

9 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
which_year_EA character 9 1 11 0 4 16 0 NA

member_ea_fb

Distribution

Distribution of values for member_ea_fb

Distribution of values for member_ea_fb

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
member_ea_fb logical 0 1 TRU: 1371, FAL: 1230 0.53 NA

member_ea_forum

Distribution

Distribution of values for member_ea_forum

Distribution of values for member_ea_forum

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
member_ea_forum logical 0 1 FAL: 2078, TRU: 523 0.2 NA

member_lw

Distribution

Distribution of values for member_lw

Distribution of values for member_lw

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
member_lw logical 0 1 FAL: 2052, TRU: 549 0.21 NA

member_tlycs

Distribution

Distribution of values for member_tlycs

Distribution of values for member_tlycs

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
member_tlycs logical 0 1 FAL: 2413, TRU: 188 0.07 NA

member_local_group

Distribution

Distribution of values for member_local_group

Distribution of values for member_local_group

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
member_local_group logical 0 1 FAL: 1583, TRU: 1018 0.39 NA

member_gwwc

Distribution

Distribution of values for member_gwwc

Distribution of values for member_gwwc

39 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
member_gwwc logical 39 0.99 FAL: 1719, TRU: 843 0.33 NA

gwwc_year

Distribution

Distribution of values for gwwc_year

Distribution of values for gwwc_year

1801 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
gwwc_year numeric 1801 0.31 2009 2016 2018 2016 1.8 ▁▁▂▇▆ NA

done_80K

Distribution

Distribution of values for done_80K

Distribution of values for done_80K

12 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
done_80K character 12 1 3 0 17 54 0 NA

know_local_group

Distribution

Distribution of values for know_local_group

Distribution of values for know_local_group

19 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
know_local_group character 19 0.99 2 0 34 48 0 NA

want_local_group

Distribution

Distribution of values for want_local_group

Distribution of values for want_local_group

26 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
want_local_group character 26 0.99 4 0 34 62 0 NA

ea_volunteer

Distribution

Distribution of values for ea_volunteer

Distribution of values for ea_volunteer

43 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
ea_volunteer character 43 0.98 2 0 27 50 0 NA

ea_volunteer_hours

Distribution

Distribution of values for ea_volunteer_hours

Distribution of values for ea_volunteer_hours

1790 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
ea_volunteer_hours character 1790 0.31 159 0 1 281 0 NA

ea_career_shifted_path

Distribution

Distribution of values for ea_career_shifted_path

Distribution of values for ea_career_shifted_path

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
ea_career_shifted_path logical 0 1 FAL: 1719, TRU: 882 0.34 NA

ea_career_will_shift_path

Distribution

Distribution of values for ea_career_will_shift_path

Distribution of values for ea_career_will_shift_path

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
ea_career_will_shift_path logical 0 1 FAL: 1621, TRU: 980 0.38 NA

ea_career_type

Distribution

Distribution of values for ea_career_type

Distribution of values for ea_career_type

38 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
ea_career_type character 38 0.99 4 0 8 30 0 NA

ea_welcoming

Distribution

Distribution of values for ea_welcoming

Distribution of values for ea_welcoming

17 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
ea_welcoming character 17 0.99 6 0 9 33 0 NA

cause_import_animal_welfare

Distribution

Distribution of values for cause_import_animal_welfare

Distribution of values for cause_import_animal_welfare

167 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_animal_welfare character 167 0.94 6 0 25 74 0 NA

cause_import_cause_prioritization

Distribution

Distribution of values for cause_import_cause_prioritization

Distribution of values for cause_import_cause_prioritization

193 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_cause_prioritization character 193 0.93 6 0 25 74 0 NA

cause_import_biosecurity

Distribution

Distribution of values for cause_import_biosecurity

Distribution of values for cause_import_biosecurity

166 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_biosecurity character 166 0.94 6 0 25 74 0 NA

cause_import_climate_change

Distribution

Distribution of values for cause_import_climate_change

Distribution of values for cause_import_climate_change

175 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_climate_change character 175 0.93 6 0 25 74 0 NA

cause_import_nuclear_security

Distribution

Distribution of values for cause_import_nuclear_security

Distribution of values for cause_import_nuclear_security

182 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_nuclear_security character 182 0.93 6 0 25 74 0 NA

cause_import_ai

Distribution

Distribution of values for cause_import_ai

Distribution of values for cause_import_ai

160 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_ai character 160 0.94 6 0 25 74 0 NA

cause_import_mental_health

Distribution

Distribution of values for cause_import_mental_health

Distribution of values for cause_import_mental_health

180 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_mental_health character 180 0.93 6 0 25 74 0 NA

cause_import_poverty

Distribution

Distribution of values for cause_import_poverty

Distribution of values for cause_import_poverty

166 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_poverty character 166 0.94 6 0 25 74 0 NA

cause_import_rationality

Distribution

Distribution of values for cause_import_rationality

Distribution of values for cause_import_rationality

164 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_rationality character 164 0.94 6 0 25 74 0 NA

cause_import_meta

Distribution

Distribution of values for cause_import_meta

Distribution of values for cause_import_meta

167 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_meta character 167 0.94 6 0 25 74 0 NA

cause_import_xrisk_other

Distribution

Distribution of values for cause_import_xrisk_other

Distribution of values for cause_import_xrisk_other

169 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_xrisk_other character 169 0.94 6 0 25 74 0 NA

extra_cause

Distribution

Distribution of values for extra_cause

Distribution of values for extra_cause

1880 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
extra_cause character 1880 0.28 661 0 4 970 0 NA

currency_donate_1

Distribution

Distribution of values for currency_donate_1

Distribution of values for currency_donate_1

245 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
currency_donate_1 character 245 0.91 11 0 10 27 0 NA

currency_donate_2

Distribution

Distribution of values for currency_donate_2

Distribution of values for currency_donate_2

2387 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
currency_donate_2 character 2387 0.08 119 0 1 133 0 NA

income_2017_household

Distribution

Distribution of values for income_2017_household

Distribution of values for income_2017_household

654 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
income_2017_household character 654 0.75 710 0 1 137 0 NA

income_2017_individual

Distribution

Distribution of values for income_2017_individual

Distribution of values for income_2017_individual

594 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
income_2017_individual character 594 0.77 733 0 1 137 0 NA

plan_donate_2018

Distribution

Distribution of values for plan_donate_2018

Distribution of values for plan_donate_2018

575 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
plan_donate_2018 character 575 0.78 509 0 1 828 0 NA

gender

Distribution

Distribution of values for gender

Distribution of values for gender

235 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
gender character 235 0.91 4 0 4 20 0 NA

race_white

Distribution

Distribution of values for race_white

Distribution of values for race_white

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
race_white logical 0 1 TRU: 2036, FAL: 565 0.78 NA

race_black

Distribution

Distribution of values for race_black

Distribution of values for race_black

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
race_black logical 0 1 FAL: 2579, TRU: 22 0.01 NA

race_hispanic

Distribution

Distribution of values for race_hispanic

Distribution of values for race_hispanic

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
race_hispanic logical 0 1 FAL: 2527, TRU: 74 0.03 NA

race_native_american

Distribution

Distribution of values for race_native_american

Distribution of values for race_native_american

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
race_native_american logical 0 1 FAL: 2592, TRU: 9 0 NA

race_pacific_islander

Distribution

Distribution of values for race_pacific_islander

Distribution of values for race_pacific_islander

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
race_pacific_islander logical 0 1 FAL: 2593, TRU: 8 0 NA

race_asian

Distribution

Distribution of values for race_asian

Distribution of values for race_asian

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
race_asian logical 0 1 FAL: 2411, TRU: 190 0.07 NA

country

Distribution

Distribution of values for country

Distribution of values for country

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
country character 0 1 9 0 5 52 0 NA

veg

Distribution

Distribution of values for veg

Distribution of values for veg

236 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
veg character 236 0.91 6 0 5 44 0 NA

religion

Distribution

Distribution of values for religion

Distribution of values for religion

242 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
religion character 242 0.91 8 0 5 35 0 NA

politics

Distribution

Distribution of values for politics

Distribution of values for politics

262 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
politics character 262 0.9 8 0 4 20 0 NA

relationship_status

Distribution

Distribution of values for relationship_status

Distribution of values for relationship_status

246 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
relationship_status character 246 0.91 8 0 6 34 0 NA

employed_full_time

Distribution

Distribution of values for employed_full_time

Distribution of values for employed_full_time

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
employed_full_time logical 0 1 FAL: 1481, TRU: 1120 0.43 NA

employed_part_time

Distribution

Distribution of values for employed_part_time

Distribution of values for employed_part_time

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
employed_part_time logical 0 1 FAL: 2331, TRU: 270 0.1 NA

employed_self

Distribution

Distribution of values for employed_self

Distribution of values for employed_self

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
employed_self logical 0 1 FAL: 2375, TRU: 226 0.09 NA

employed_looking

Distribution

Distribution of values for employed_looking

Distribution of values for employed_looking

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
employed_looking logical 0 1 FAL: 2469, TRU: 132 0.05 NA

employed_not_looking

Distribution

Distribution of values for employed_not_looking

Distribution of values for employed_not_looking

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
employed_not_looking logical 0 1 FAL: 2555, TRU: 46 0.02 NA

employed_homemaker

Distribution

Distribution of values for employed_homemaker

Distribution of values for employed_homemaker

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
employed_homemaker logical 0 1 FAL: 2573, TRU: 28 0.01 NA

employed_retired

Distribution

Distribution of values for employed_retired

Distribution of values for employed_retired

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
employed_retired logical 0 1 FAL: 2528, TRU: 73 0.03 NA

employed_student_part

Distribution

Distribution of values for employed_student_part

Distribution of values for employed_student_part

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
employed_student_part logical 0 1 FAL: 2480, TRU: 121 0.05 NA

employed_student_full

Distribution

Distribution of values for employed_student_full

Distribution of values for employed_student_full

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
employed_student_full logical 0 1 FAL: 1910, TRU: 691 0.27 NA

education

Distribution

Distribution of values for education

Distribution of values for education

234 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
education character 234 0.91 8 0 15 23 0 NA

studied_cs

Distribution

Distribution of values for studied_cs

Distribution of values for studied_cs

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
studied_cs logical 0 1 FAL: 1987, TRU: 614 0.24 NA

studied_econ

Distribution

Distribution of values for studied_econ

Distribution of values for studied_econ

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
studied_econ logical 0 1 FAL: 2256, TRU: 345 0.13 NA

studied_engineering

Distribution

Distribution of values for studied_engineering

Distribution of values for studied_engineering

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
studied_engineering logical 0 1 FAL: 2394, TRU: 207 0.08 NA

studied_math

Distribution

Distribution of values for studied_math

Distribution of values for studied_math

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
studied_math logical 0 1 FAL: 2191, TRU: 410 0.16 NA

studied_medicine

Distribution

Distribution of values for studied_medicine

Distribution of values for studied_medicine

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
studied_medicine logical 0 1 FAL: 2495, TRU: 106 0.04 NA

studied_psych

Distribution

Distribution of values for studied_psych

Distribution of values for studied_psych

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
studied_psych logical 0 1 FAL: 2373, TRU: 228 0.09 NA

studied_phil

Distribution

Distribution of values for studied_phil

Distribution of values for studied_phil

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
studied_phil logical 0 1 FAL: 2255, TRU: 346 0.13 NA

studied_physics

Distribution

Distribution of values for studied_physics

Distribution of values for studied_physics

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
studied_physics logical 0 1 FAL: 2416, TRU: 185 0.07 NA

studied_humanities

Distribution

Distribution of values for studied_humanities

Distribution of values for studied_humanities

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
studied_humanities logical 0 1 FAL: 2331, TRU: 270 0.1 NA

studied_social_science

Distribution

Distribution of values for studied_social_science

Distribution of values for studied_social_science

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
studied_social_science logical 0 1 FAL: 2258, TRU: 343 0.13 NA

studied_other_science

Distribution

Distribution of values for studied_other_science

Distribution of values for studied_other_science

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
studied_other_science logical 0 1 FAL: 2351, TRU: 250 0.1 NA

studied_vocational

Distribution

Distribution of values for studied_vocational

Distribution of values for studied_vocational

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
studied_vocational logical 0 1 FAL: 2494, TRU: 107 0.04 NA

field

Distribution

Distribution of values for field

Distribution of values for field

562 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
field character 562 0.78 21 0 9 54 0 NA

referrer_self_report_ea_fb

Distribution

Distribution of values for referrer_self_report_ea_fb

Distribution of values for referrer_self_report_ea_fb

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
referrer_self_report_ea_fb logical 0 1 FAL: 2171, TRU: 430 0.17 NA

referrer_self_report_other_fb1

Distribution

Distribution of values for referrer_self_report_other_fb1

Distribution of values for referrer_self_report_other_fb1

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
referrer_self_report_other_fb1 logical 0 1 FAL: 2149, TRU: 452 0.17 NA

referrer_self_report_other_fb2

Distribution

Distribution of values for referrer_self_report_other_fb2

Distribution of values for referrer_self_report_other_fb2

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
referrer_self_report_other_fb2 logical 0 1 FAL: 2384, TRU: 217 0.08 NA

referrer_self_report_ea_newsletter

Distribution

Distribution of values for referrer_self_report_ea_newsletter

Distribution of values for referrer_self_report_ea_newsletter

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
referrer_self_report_ea_newsletter logical 0 1 FAL: 1677, TRU: 924 0.36 NA

referrer_self_report_ace

Distribution

Distribution of values for referrer_self_report_ace

Distribution of values for referrer_self_report_ace

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
referrer_self_report_ace logical 0 1 FAL: 2560, TRU: 41 0.02 NA

referrer_self_report_gwwc

Distribution

Distribution of values for referrer_self_report_gwwc

Distribution of values for referrer_self_report_gwwc

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
referrer_self_report_gwwc logical 0 1 FAL: 2575, TRU: 26 0.01 NA

referrer_self_report_friend

Distribution

Distribution of values for referrer_self_report_friend

Distribution of values for referrer_self_report_friend

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
referrer_self_report_friend logical 0 1 FAL: 2459, TRU: 142 0.05 NA

referrer_self_report_lw

Distribution

Distribution of values for referrer_self_report_lw

Distribution of values for referrer_self_report_lw

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
referrer_self_report_lw logical 0 1 FAL: 2552, TRU: 49 0.02 NA

referrer_self_report_local_group

Distribution

Distribution of values for referrer_self_report_local_group

Distribution of values for referrer_self_report_local_group

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
referrer_self_report_local_group logical 0 1 FAL: 2486, TRU: 115 0.04 NA

referrer_self_report_ssc

Distribution

Distribution of values for referrer_self_report_ssc

Distribution of values for referrer_self_report_ssc

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
referrer_self_report_ssc logical 0 1 FAL: 2412, TRU: 189 0.07 NA

took_last_year

Distribution

Distribution of values for took_last_year

Distribution of values for took_last_year

324 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
took_last_year character 324 0.88 2 0 2 3 0 NA

can_share_my_2017_donations

Distribution

Distribution of values for can_share_my_2017_donations

Distribution of values for can_share_my_2017_donations

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
can_share_my_2017_donations logical 0 1 FAL: 1742, TRU: 859 0.33 NA

can_share_my_lifetime_donations

Distribution

Distribution of values for can_share_my_lifetime_donations

Distribution of values for can_share_my_lifetime_donations

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
can_share_my_lifetime_donations logical 0 1 FAL: 1958, TRU: 643 0.25 NA

can_share_my_donation_plans

Distribution

Distribution of values for can_share_my_donation_plans

Distribution of values for can_share_my_donation_plans

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
can_share_my_donation_plans logical 0 1 FAL: 1888, TRU: 713 0.27 NA

can_share_cea_first_name

Distribution

Distribution of values for can_share_cea_first_name

Distribution of values for can_share_cea_first_name

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
can_share_cea_first_name logical 0 1 FAL: 1673, TRU: 928 0.36 NA

no_share_with_cea_80k

Distribution

Distribution of values for no_share_with_cea_80k

Distribution of values for no_share_with_cea_80k

1800 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
no_share_with_cea_80k character 1800 0.31 1 0 86 86 0 NA

no_share_registry

Distribution

Distribution of values for no_share_registry

Distribution of values for no_share_registry

1615 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
no_share_registry character 1615 0.38 1 0 64 64 0 NA

can_share_cea_last_name

Distribution

Distribution of values for can_share_cea_last_name

Distribution of values for can_share_cea_last_name

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
can_share_cea_last_name logical 0 1 FAL: 2601 0 NA

can_share_cea_email

Distribution

Distribution of values for can_share_cea_email

Distribution of values for can_share_cea_email

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
can_share_cea_email logical 0 1 FAL: 1607, TRU: 994 0.38 NA

want_ea_newsletter

Distribution

Distribution of values for want_ea_newsletter

Distribution of values for want_ea_newsletter

555 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
want_ea_newsletter character 555 0.79 3 0 15 46 0 NA

can_share_profile

Distribution

Distribution of values for can_share_profile

Distribution of values for can_share_profile

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
can_share_profile logical 0 1 TRU: 2055, FAL: 546 0.79 NA

can_share_profile_donations

Distribution

Distribution of values for can_share_profile_donations

Distribution of values for can_share_profile_donations

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
can_share_profile_donations logical 0 1 FAL: 2448, TRU: 153 0.06 NA

can_share_profile_donation_plans

Distribution

Distribution of values for can_share_profile_donation_plans

Distribution of values for can_share_profile_donation_plans

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
can_share_profile_donation_plans logical 0 1 FAL: 2452, TRU: 149 0.06 NA

can_share_profile_location

Distribution

Distribution of values for can_share_profile_location

Distribution of values for can_share_profile_location

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
can_share_profile_location logical 0 1 FAL: 2319, TRU: 282 0.11 NA

how_feel_donate

Distribution

Distribution of values for how_feel_donate

Distribution of values for how_feel_donate

1299 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
how_feel_donate character 1299 0.5 4 0 34 63 0 NA

donation_kind_recurring

Distribution

Distribution of values for donation_kind_recurring

Distribution of values for donation_kind_recurring

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
donation_kind_recurring logical 0 1 FAL: 2016, TRU: 585 0.22 NA

donation_kind_eoy

Distribution

Distribution of values for donation_kind_eoy

Distribution of values for donation_kind_eoy

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
donation_kind_eoy logical 0 1 FAL: 2194, TRU: 407 0.16 NA

donation_on_demand

Distribution

Distribution of values for donation_on_demand

Distribution of values for donation_on_demand

2125 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
donation_on_demand character 2125 0.18 1 0 29 29 0 NA

cost_effectiveness_ratio

Distribution

Distribution of values for cost_effectiveness_ratio

Distribution of values for cost_effectiveness_ratio

1462 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cost_effectiveness_ratio character 1462 0.44 203 0 1 472 0 NA

ec_1

Distribution

Distribution of values for ec_1

Distribution of values for ec_1

1200 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
ec_1 numeric 1200 0.54 2 4 54 19 23 ▇▁▁▁▃ NA

pd_1

Distribution

Distribution of values for pd_1

Distribution of values for pd_1

1226 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
pd_1 numeric 1226 0.53 2 3 54 9.2 14 ▇▂▁▁▁ NA

pd_2

Distribution

Distribution of values for pd_2

Distribution of values for pd_2

1213 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
pd_2 numeric 1213 0.53 2 3 54 9.3 15 ▇▂▁▁▁ NA

ec_2

Distribution

Distribution of values for ec_2

Distribution of values for ec_2

1212 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
ec_2 numeric 1212 0.53 2 4 54 14 20 ▇▁▁▁▂ NA

pt_1

Distribution

Distribution of values for pt_1

Distribution of values for pt_1

1216 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
pt_1 numeric 1216 0.53 2 4 54 14 21 ▇▁▁▁▂ NA

pd_3

Distribution

Distribution of values for pd_3

Distribution of values for pd_3

1238 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
pd_3 numeric 1238 0.52 2 3 54 7.8 8.7 ▇▅▁▁▁ NA

pt_2

Distribution

Distribution of values for pt_2

Distribution of values for pt_2

1217 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
pt_2 numeric 1217 0.53 2 4 54 13 20 ▇▁▁▁▂ NA

maximizing_1

Distribution

Distribution of values for maximizing_1

Distribution of values for maximizing_1

1241 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
maximizing_1 character 1241 0.52 5 0 3 30 0 NA

maximizing_2

Distribution

Distribution of values for maximizing_2

Distribution of values for maximizing_2

1254 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
maximizing_2 character 1254 0.52 5 0 3 30 0 NA

maximizing_3

Distribution

Distribution of values for maximizing_3

Distribution of values for maximizing_3

1240 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
maximizing_3 character 1240 0.52 5 0 3 30 0 NA

maximizing_4

Distribution

Distribution of values for maximizing_4

Distribution of values for maximizing_4

1246 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
maximizing_4 character 1246 0.52 5 0 3 30 0 NA

maximizing_7

Distribution

Distribution of values for maximizing_7

Distribution of values for maximizing_7

1242 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
maximizing_7 character 1242 0.52 5 0 3 30 0 NA

search_1

Distribution

Distribution of values for search_1

Distribution of values for search_1

1247 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
search_1 character 1247 0.52 5 0 3 30 0 NA

search_2

Distribution

Distribution of values for search_2

Distribution of values for search_2

1243 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
search_2 character 1243 0.52 5 0 3 30 0 NA

search_7

Distribution

Distribution of values for search_7

Distribution of values for search_7

1249 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
search_7 character 1249 0.52 5 0 3 30 0 NA

search_8

Distribution

Distribution of values for search_8

Distribution of values for search_8

1244 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
search_8 character 1244 0.52 5 0 3 30 0 NA

search_9

Distribution

Distribution of values for search_9

Distribution of values for search_9

1247 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
search_9 character 1247 0.52 5 0 3 30 0 NA

nfc_1

Distribution

Distribution of values for nfc_1

Distribution of values for nfc_1

1249 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
nfc_1 character 1249 0.52 5 0 3 30 0 NA

nfc_3

Distribution

Distribution of values for nfc_3

Distribution of values for nfc_3

1249 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
nfc_3 character 1249 0.52 5 0 3 30 0 NA

nfc_4

Distribution

Distribution of values for nfc_4

Distribution of values for nfc_4

1250 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
nfc_4 character 1250 0.52 5 0 3 30 0 NA

big_five_extraverted_1

Distribution

Distribution of values for big_five_extraverted_1

Distribution of values for big_five_extraverted_1

1250 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
big_five_extraverted_1 character 1250 0.52 7 0 16 28 0 NA

big_five_conscientious_1

Distribution

Distribution of values for big_five_conscientious_1

Distribution of values for big_five_conscientious_1

1265 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
big_five_conscientious_1 character 1265 0.51 7 0 16 28 0 NA

big_five_open_1

Distribution

Distribution of values for big_five_open_1

Distribution of values for big_five_open_1

1256 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
big_five_open_1 character 1256 0.52 7 0 16 28 0 NA

big_five_agreeable_2

Distribution

Distribution of values for big_five_agreeable_2

Distribution of values for big_five_agreeable_2

1266 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
big_five_agreeable_2 character 1266 0.51 7 0 16 28 0 NA

big_five_emotionally_stable_2

Distribution

Distribution of values for big_five_emotionally_stable_2

Distribution of values for big_five_emotionally_stable_2

1257 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
big_five_emotionally_stable_2 character 1257 0.52 7 0 16 28 0 NA

ea_id

Distribution

Distribution of values for ea_id

Distribution of values for ea_id

1573 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
ea_id character 1573 0.4 1026 0 32 32 0 NA

age

Distribution

Distribution of values for age

Distribution of values for age

324 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
age character 324 0.88 6 0 3 5 0 NA

currency

Distribution

Distribution of values for currency

Distribution of values for currency

310 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
currency character 310 0.88 22 0 3 3 0 NA

plan_donate_2018_c

Distribution

Distribution of values for plan_donate_2018_c

Distribution of values for plan_donate_2018_c

809 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
plan_donate_2018_c numeric 809 0.69 0 1156 5e+06 11042 139864 ▇▁▁▁▁ NA

income_2017_household_c

Distribution

Distribution of values for income_2017_household_c

Distribution of values for income_2017_household_c

864 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
income_2017_household_c numeric 864 0.67 0 50000 9e+07 151277 2206509 ▇▁▁▁▁ NA

income_2017_individual_c

Distribution

Distribution of values for income_2017_individual_c

Distribution of values for income_2017_individual_c

764 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
income_2017_individual_c numeric 764 0.71 0 31207 9e+07 114373 2130926 ▇▁▁▁▁ NA

p_donate_2017

Distribution

Distribution of values for p_donate_2017

Distribution of values for p_donate_2017

922 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
p_donate_2017 numeric 922 0.65 0 0.04 200 0.75 7.2 ▇▁▁▁▁ NA

cause_import_animal_welfare_b

Distribution

Distribution of values for cause_import_animal_welfare_b

Distribution of values for cause_import_animal_welfare_b

167 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_animal_welfare_b character 167 0.94 6 0 25 74 0 NA

cause_import_cause_prioritization_b

Distribution

Distribution of values for cause_import_cause_prioritization_b

Distribution of values for cause_import_cause_prioritization_b

193 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_cause_prioritization_b character 193 0.93 6 0 25 74 0 NA

cause_import_biosecurity_b

Distribution

Distribution of values for cause_import_biosecurity_b

Distribution of values for cause_import_biosecurity_b

166 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_biosecurity_b character 166 0.94 6 0 25 74 0 NA

cause_import_climate_change_b

Distribution

Distribution of values for cause_import_climate_change_b

Distribution of values for cause_import_climate_change_b

175 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_climate_change_b character 175 0.93 6 0 25 74 0 NA

cause_import_nuclear_security_b

Distribution

Distribution of values for cause_import_nuclear_security_b

Distribution of values for cause_import_nuclear_security_b

182 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_nuclear_security_b character 182 0.93 6 0 25 74 0 NA

cause_import_ai_b

Distribution

Distribution of values for cause_import_ai_b

Distribution of values for cause_import_ai_b

160 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_ai_b character 160 0.94 6 0 25 74 0 NA

cause_import_mental_health_b

Distribution

Distribution of values for cause_import_mental_health_b

Distribution of values for cause_import_mental_health_b

180 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_mental_health_b character 180 0.93 6 0 25 74 0 NA

cause_import_poverty_b

Distribution

Distribution of values for cause_import_poverty_b

Distribution of values for cause_import_poverty_b

166 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_poverty_b character 166 0.94 6 0 25 74 0 NA

cause_import_rationality_b

Distribution

Distribution of values for cause_import_rationality_b

Distribution of values for cause_import_rationality_b

164 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_rationality_b character 164 0.94 6 0 25 74 0 NA

cause_import_meta_b

Distribution

Distribution of values for cause_import_meta_b

Distribution of values for cause_import_meta_b

167 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_meta_b character 167 0.94 6 0 25 74 0 NA

cause_import_xrisk_other_b

Distribution

Distribution of values for cause_import_xrisk_other_b

Distribution of values for cause_import_xrisk_other_b

169 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_xrisk_other_b character 169 0.94 6 0 25 74 0 NA

gender_b

Distribution

Distribution of values for gender_b

Distribution of values for gender_b

327 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
gender_b character 327 0.87 2 0 4 6 0 NA

veg_b

Distribution

Distribution of values for veg_b

Distribution of values for veg_b

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
veg_b logical 0 1 FAL: 1599, TRU: 1002 0.39 NA

left

Distribution

Distribution of values for left

Distribution of values for left

428 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
left character 428 0.84 5 0 4 20 0 NA

student

Distribution

Distribution of values for student

Distribution of values for student

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
student logical 0 1 FAL: 1792, TRU: 809 0.31 NA

search_subscale

Distribution

Distribution of values for search_subscale

Distribution of values for search_subscale

1255 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
search_subscale numeric 1255 0.52 5 16 25 16 4.5 ▂▅▇▇▃ NA

maximizing_subscale

Distribution

Distribution of values for maximizing_subscale

Distribution of values for maximizing_subscale

1265 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
maximizing_subscale numeric 1265 0.51 5 18 25 17 3.7 ▁▂▇▇▂ NA

maximizing_scale

Distribution

Distribution of values for maximizing_scale

Distribution of values for maximizing_scale

1287 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
maximizing_scale numeric 1287 0.51 12 34 50 34 6.6 ▁▃▇▇▂ NA

nfc_2_r

Distribution

Distribution of values for nfc_2_r

Distribution of values for nfc_2_r

1245 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
nfc_2_r numeric 1245 0.52 1 5 5 4.5 0.82 ▁▁▁▃▇ NA

nfc_scale

Distribution

Distribution of values for nfc_scale

Distribution of values for nfc_scale

1260 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
nfc_scale numeric 1260 0.52 4 18 20 17 2.4 ▁▁▁▃▇ NA

big_five_extraverted_2_r

Distribution

Distribution of values for big_five_extraverted_2_r

Distribution of values for big_five_extraverted_2_r

1256 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
big_five_extraverted_2_r numeric 1256 0.52 1 3 7 3.5 1.8 ▇▆▃▃▅ NA

big_five_extraverted_scale

Distribution

Distribution of values for big_five_extraverted_scale

Distribution of values for big_five_extraverted_scale

1258 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
big_five_extraverted_scale numeric 1258 0.52 2 7 14 7.5 3.3 ▆▆▇▃▅ NA

big_five_conscientious_2_r

Distribution

Distribution of values for big_five_conscientious_2_r

Distribution of values for big_five_conscientious_2_r

1259 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
big_five_conscientious_2_r numeric 1259 0.52 1 5 7 4.8 1.7 ▂▃▂▃▇ NA

big_five_conscientious_scale

Distribution

Distribution of values for big_five_conscientious_scale

Distribution of values for big_five_conscientious_scale

1270 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
big_five_conscientious_scale numeric 1270 0.51 2 10 14 10 2.9 ▁▂▆▆▇ NA

big_five_agreeable_1_r

Distribution

Distribution of values for big_five_agreeable_1_r

Distribution of values for big_five_agreeable_1_r

1255 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
big_five_agreeable_1_r numeric 1255 0.52 1 4 7 4.1 1.8 ▆▆▃▃▇ NA

big_five_agreeable_scale

Distribution

Distribution of values for big_five_agreeable_scale

Distribution of values for big_five_agreeable_scale

1269 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
big_five_agreeable_scale numeric 1269 0.51 2 9 14 9.1 2.6 ▁▂▇▅▅ NA

big_five_emotionally_stable_1_r

Distribution

Distribution of values for big_five_emotionally_stable_1_r

Distribution of values for big_five_emotionally_stable_1_r

1258 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
big_five_emotionally_stable_1_r numeric 1258 0.52 1 5 7 4.6 1.8 ▃▃▂▃▇ NA

big_five_emotionally_stable_scale

Distribution

Distribution of values for big_five_emotionally_stable_scale

Distribution of values for big_five_emotionally_stable_scale

1262 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
big_five_emotionally_stable_scale numeric 1262 0.51 2 10 14 9.8 3.1 ▂▂▆▅▇ NA

big_five_open_2_r

Distribution

Distribution of values for big_five_open_2_r

Distribution of values for big_five_open_2_r

1259 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
big_five_open_2_r numeric 1259 0.52 1 6 7 5.2 1.5 ▁▂▂▃▇ NA

big_five_open_scale

Distribution

Distribution of values for big_five_open_scale

Distribution of values for big_five_open_scale

1261 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
big_five_open_scale numeric 1261 0.52 2 11 14 11 2.3 ▁▁▃▅▇ NA

ec_scale

Distribution

Distribution of values for ec_scale

Distribution of values for ec_scale

1214 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
ec_scale numeric 1214 0.53 4 8 108 32 35 ▇▁▃▁▂ NA

pd_scale

Distribution

Distribution of values for pd_scale

Distribution of values for pd_scale

1250 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
pd_scale numeric 1250 0.52 6 18 162 26 26 ▇▂▁▁▁ NA

pt_scale

Distribution

Distribution of values for pt_scale

Distribution of values for pt_scale

1225 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
pt_scale numeric 1225 0.53 4 8 108 28 35 ▇▁▂▁▂ NA

Missingness report

descriptionheard_eafirst_heard_EAwhich_year_EAdone_80Kea_welcomingknow_local_groupwant_local_groupea_career_typemember_gwwcea_volunteercause_import_aicause_import_ai_bcause_import_rationalitycause_import_rationality_bcause_import_biosecuritycause_import_povertycause_import_biosecurity_bcause_import_poverty_bcause_import_animal_welfarecause_import_metacause_import_animal_welfare_bcause_import_meta_bcause_import_xrisk_othercause_import_xrisk_other_bcause_import_climate_changecause_import_climate_change_bcause_import_mental_healthcause_import_mental_health_bcause_import_nuclear_securitycause_import_nuclear_security_bcause_import_cause_prioritizationcause_import_cause_prioritization_beducationgendervegreligioncurrency_donate_1relationship_statuspoliticscurrencytook_last_yearagegender_bleftdonate_2017want_ea_newsletterfieldplan_donate_2018income_2017_individualincome_2017_householddonate_2017_cincome_2017_individual_cplan_donate_2018_cincome_2017_household_cp_donate_2017ec_1ec_2pd_2ec_scalept_1pt_2pt_scalepd_1pd_3maximizing_3maximizing_1maximizing_7search_2search_8nfc_2_rmaximizing_4search_1search_9search_7nfc_1nfc_3nfc_4big_five_extraverted_1pd_scalemaximizing_2search_subscalebig_five_agreeable_1_rbig_five_open_1big_five_extraverted_2_rbig_five_emotionally_stable_2big_five_extraverted_scalebig_five_emotionally_stable_1_rbig_five_conscientious_2_rbig_five_open_2_rnfc_scalebig_five_open_scalebig_five_emotionally_stable_scalebig_five_conscientious_1maximizing_subscalebig_five_agreeable_2big_five_agreeable_scalebig_five_conscientious_scalemaximizing_scalehow_feel_donatecost_effectiveness_ratioea_idno_share_registrydonate_gw_2017ea_volunteer_hoursno_share_with_cea_80kgwwc_yeardonate_lifetimeextra_causedonate_lifetime_cdonation_on_demanddonate_amf_2017donate_amf_2017_cdonate_gd_2017donate_gd_2017_ccurrency_donate_2donate_sci_2017donate_miri_2017donate_miri_2017_cdonate_cause_far_future_2017_cdonate_sci_2017_cdonate_ace_2017donate_gf_2017donate_cea_2017donate_dtw_2017donate_gf_2017_cdonate_ace_2017_cdonate_ef_2017donate_mfa_2017donate_cea_2017_cdonate_thl_2017donate_dtw_2017_cdonate_ef_2017_cdonate_mfa_2017_cdonate_thl_2017_cdonate_80K_2017donate_RC_2017donate_cfar_2017donate_80K_2017_cdonate_cfar_2017_cdonate_RC_2017_cvar_missn_miss
Missing values per variable4       8       9       12       17       19       26       38       39       43       160       160       164       164       166166166166167167167167169169175       175       180       180       182       182       193       193       234       235       236       242245246262       310       324       324       327       428       540       555       562       575       594       654       710       764      809       864      922       1.2e+03 1.21e+031.21e+031.21e+031.22e+031.22e+031.22e+031.23e+031.24e+031.24e+031.24e+031.24e+031.24e+031.24e+031.24e+031.25e+031.25e+031.25e+031.25e+031.25e+031.25e+031.25e+031.25e+031.25e+031.25e+031.26e+031.26e+031.26e+031.26e+031.26e+031.26e+031.26e+031.26e+031.26e+031.26e+031.26e+031.26e+031.26e+031.26e+031.27e+031.27e+031.27e+031.29e+031.3e+03 1.46e+031.57e+031.62e+031.66e+031.79e+031.8e+031.8e+031.81e+031.88e+031.92e+032.12e+032.21e+032.24e+032.35e+032.37e+032.39e+032.41e+032.42e+032.43e+032.43e+032.43e+032.44e+032.44e+032.44e+032.45e+032.45e+032.45e+032.45e+032.46e+032.46e+032.46e+032.46e+032.46e+032.46e+032.46e+032.48e+032.48e+032.48e+032.48e+032.49e+032.49e+031.62e+051.62e+05
Missing values in 130 variables1       1       1       1       1       1       1       1       1       1       0       0       0       0       00000000000       0       0       0       0       0       0       0       0       0       0       0000       0       0       0       0       0       0       0       0       0       0       0       0       0      0       0      0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0      0      0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       130       47       
2074 other, less frequent patterns2.07e+032.07e+032.07e+032.06e+032.06e+032.06e+032.05e+032.04e+032.04e+032.03e+032.01e+032.01e+032.00e+032.00e+032e+032e+032e+032e+032e+032e+032e+032e+032e+032e+031.99e+031.99e+031.99e+031.99e+031.99e+031.99e+031.98e+031.98e+032.01e+032.01e+032.00e+032e+032e+032e+031.98e+031.93e+031.92e+031.92e+031.92e+031.81e+031.72e+031.73e+031.69e+031.69e+031.67e+031.61e+031.56e+031.5e+031.46e+031.4e+031.35e+031.31e+031.3e+03 1.3e+03 1.3e+03 1.3e+03 1.3e+03 1.29e+031.29e+031.27e+031.27e+031.27e+031.27e+031.27e+031.27e+031.27e+031.27e+031.26e+031.26e+031.26e+031.26e+031.26e+031.26e+031.26e+031.26e+031.26e+031.26e+031.26e+031.26e+031.26e+031.26e+031.25e+031.25e+031.25e+031.25e+031.25e+031.25e+031.25e+031.25e+031.25e+031.25e+031.24e+031.24e+031.22e+031.21e+031.06e+03894       829       738       706       665      677      734       651       629       451       376       342       244       224       208       182       177       168       168       165       157       154       152       149       147       147       145       141       140       139       137       136       131       131       119       115       115       111       109       108       1.16e+052.55e+03

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": ".",
  "datePublished": "2021-03-12",
  "description": "The dataset has N=2601 rows and 219 columns.\n0 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n[truncated]\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
  "keywords": ["heard_ea", "sincere", "is_ea1", "is_ea2", "first_heard_EA", "involved_tlycs", "involved_local_EA", "involved_university_EA", "involved_ace", "involved_ssc", "involved_online_ea", "involved_personal_contact", "involved_80K", "involved_GWWC", "involved_ea_global", "involved_book_blog", "involved_swiss", "involved_other", "which_year_EA", "member_ea_fb", "member_ea_forum", "member_lw", "member_tlycs", "member_local_group", "member_gwwc", "gwwc_year", "done_80K", "know_local_group", "want_local_group", "ea_volunteer", "ea_volunteer_hours", "ea_career_shifted_path", "ea_career_will_shift_path", "ea_career_type", "ea_welcoming", "cause_import_animal_welfare", "cause_import_cause_prioritization", "cause_import_biosecurity", "cause_import_climate_change", "cause_import_nuclear_security", "cause_import_ai", "cause_import_mental_health", "cause_import_poverty", "cause_import_rationality", "cause_import_meta", "cause_import_xrisk_other", "extra_cause", "currency_donate_1", "currency_donate_2", "income_2017_household", "income_2017_individual", "donate_2017", "plan_donate_2018", "gender", "race_white", "race_black", "race_hispanic", "race_native_american", "race_pacific_islander", "race_asian", "country", "veg", "religion", "politics", "relationship_status", "employed_full_time", "employed_part_time", "employed_self", "employed_looking", "employed_not_looking", "employed_homemaker", "employed_retired", "employed_student_part", "employed_student_full", "education", "studied_cs", "studied_econ", "studied_engineering", "studied_math", "studied_medicine", "studied_psych", "studied_phil", "studied_physics", "studied_humanities", "studied_social_science", "studied_other_science", "studied_vocational", "field", "referrer_self_report_ea_fb", "referrer_self_report_other_fb1", "referrer_self_report_other_fb2", "referrer_self_report_ea_newsletter", "referrer_self_report_ace", "referrer_self_report_gwwc", "referrer_self_report_friend", "referrer_self_report_lw", "referrer_self_report_local_group", "referrer_self_report_ssc", "took_last_year", "can_share_my_2017_donations", "can_share_my_lifetime_donations", "can_share_my_donation_plans", "can_share_cea_first_name", "no_share_with_cea_80k", "no_share_registry", "can_share_cea_last_name", "can_share_cea_email", "want_ea_newsletter", "can_share_profile", "can_share_profile_donations", "can_share_profile_donation_plans", "can_share_profile_location", "donate_RC_2017", "donate_80K_2017", "donate_cfar_2017", "donate_miri_2017", "donate_gf_2017", "donate_ace_2017", "donate_mfa_2017", "donate_cea_2017", "donate_dtw_2017", "donate_gw_2017", "donate_sci_2017", "donate_gd_2017", "donate_ef_2017", "donate_amf_2017", "donate_thl_2017", "donate_lifetime", "how_feel_donate", "donation_kind_recurring", "donation_kind_eoy", "donation_on_demand", "cost_effectiveness_ratio", "ec_1", "pd_1", "pd_2", "ec_2", "pt_1", "pd_3", "pt_2", "maximizing_1", "maximizing_2", "maximizing_3", "maximizing_4", "maximizing_7", "search_1", "search_2", "search_7", "search_8", "search_9", "nfc_1", "nfc_3", "nfc_4", "big_five_extraverted_1", "big_five_conscientious_1", "big_five_open_1", "big_five_agreeable_2", "big_five_emotionally_stable_2", "ea_id", "age", "currency", "donate_2017_c", "plan_donate_2018_c", "donate_RC_2017_c", "donate_80K_2017_c", "donate_cfar_2017_c", "donate_miri_2017_c", "donate_gf_2017_c", "donate_ace_2017_c", "donate_mfa_2017_c", "donate_cea_2017_c", "donate_dtw_2017_c", "donate_sci_2017_c", "donate_gd_2017_c", "donate_ef_2017_c", "donate_amf_2017_c", "donate_thl_2017_c", "donate_lifetime_c", "income_2017_household_c", "income_2017_individual_c", "p_donate_2017", "cause_import_animal_welfare_b", "cause_import_cause_prioritization_b", "cause_import_biosecurity_b", "cause_import_climate_change_b", "cause_import_nuclear_security_b", "cause_import_ai_b", "cause_import_mental_health_b", "cause_import_poverty_b", "cause_import_rationality_b", "cause_import_meta_b", "cause_import_xrisk_other_b", "gender_b", "veg_b", "left", "donate_cause_meta_2017_c", "donate_cause_cause_pri_2017_c", "donate_cause_poverty_2017_c", "donate_cause_animal_welfare_2017_c", "donate_cause_far_future_2017_c", "student", "search_subscale", "maximizing_subscale", "maximizing_scale", "nfc_2_r", "nfc_scale", "big_five_extraverted_2_r", "big_five_extraverted_scale", "big_five_conscientious_2_r", "big_five_conscientious_scale", "big_five_agreeable_1_r", "big_five_agreeable_scale", "big_five_emotionally_stable_1_r", "big_five_emotionally_stable_scale", "big_five_open_2_r", "big_five_open_scale", "ec_scale", "pd_scale", "pt_scale"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "heard_ea",
      "@type": "propertyValue"
    },
    {
      "name": "sincere",
      "@type": "propertyValue"
    },
    {
      "name": "is_ea1",
      "@type": "propertyValue"
    },
    {
      "name": "is_ea2",
      "@type": "propertyValue"
    },
    {
      "name": "first_heard_EA",
      "@type": "propertyValue"
    },
    {
      "name": "involved_tlycs",
      "@type": "propertyValue"
    },
    {
      "name": "involved_local_EA",
      "@type": "propertyValue"
    },
    {
      "name": "involved_university_EA",
      "@type": "propertyValue"
    },
    {
      "name": "involved_ace",
      "@type": "propertyValue"
    },
    {
      "name": "involved_ssc",
      "@type": "propertyValue"
    },
    {
      "name": "involved_online_ea",
      "@type": "propertyValue"
    },
    {
      "name": "involved_personal_contact",
      "@type": "propertyValue"
    },
    {
      "name": "involved_80K",
      "@type": "propertyValue"
    },
    {
      "name": "involved_GWWC",
      "@type": "propertyValue"
    },
    {
      "name": "involved_ea_global",
      "@type": "propertyValue"
    },
    {
      "name": "involved_book_blog",
      "@type": "propertyValue"
    },
    {
      "name": "involved_swiss",
      "@type": "propertyValue"
    },
    {
      "name": "involved_other",
      "@type": "propertyValue"
    },
    {
      "name": "which_year_EA",
      "@type": "propertyValue"
    },
    {
      "name": "member_ea_fb",
      "@type": "propertyValue"
    },
    {
      "name": "member_ea_forum",
      "@type": "propertyValue"
    },
    {
      "name": "member_lw",
      "@type": "propertyValue"
    },
    {
      "name": "member_tlycs",
      "@type": "propertyValue"
    },
    {
      "name": "member_local_group",
      "@type": "propertyValue"
    },
    {
      "name": "member_gwwc",
      "@type": "propertyValue"
    },
    {
      "name": "gwwc_year",
      "@type": "propertyValue"
    },
    {
      "name": "done_80K",
      "@type": "propertyValue"
    },
    {
      "name": "know_local_group",
      "@type": "propertyValue"
    },
    {
      "name": "want_local_group",
      "@type": "propertyValue"
    },
    {
      "name": "ea_volunteer",
      "@type": "propertyValue"
    },
    {
      "name": "ea_volunteer_hours",
      "@type": "propertyValue"
    },
    {
      "name": "ea_career_shifted_path",
      "@type": "propertyValue"
    },
    {
      "name": "ea_career_will_shift_path",
      "@type": "propertyValue"
    },
    {
      "name": "ea_career_type",
      "@type": "propertyValue"
    },
    {
      "name": "ea_welcoming",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_animal_welfare",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_cause_prioritization",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_biosecurity",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_climate_change",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_nuclear_security",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_ai",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_mental_health",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_poverty",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_rationality",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_meta",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_xrisk_other",
      "@type": "propertyValue"
    },
    {
      "name": "extra_cause",
      "@type": "propertyValue"
    },
    {
      "name": "currency_donate_1",
      "@type": "propertyValue"
    },
    {
      "name": "currency_donate_2",
      "@type": "propertyValue"
    },
    {
      "name": "income_2017_household",
      "@type": "propertyValue"
    },
    {
      "name": "income_2017_individual",
      "@type": "propertyValue"
    },
    {
      "name": "donate_2017",
      "@type": "propertyValue"
    },
    {
      "name": "plan_donate_2018",
      "@type": "propertyValue"
    },
    {
      "name": "gender",
      "@type": "propertyValue"
    },
    {
      "name": "race_white",
      "@type": "propertyValue"
    },
    {
      "name": "race_black",
      "@type": "propertyValue"
    },
    {
      "name": "race_hispanic",
      "@type": "propertyValue"
    },
    {
      "name": "race_native_american",
      "@type": "propertyValue"
    },
    {
      "name": "race_pacific_islander",
      "@type": "propertyValue"
    },
    {
      "name": "race_asian",
      "@type": "propertyValue"
    },
    {
      "name": "country",
      "@type": "propertyValue"
    },
    {
      "name": "veg",
      "@type": "propertyValue"
    },
    {
      "name": "religion",
      "@type": "propertyValue"
    },
    {
      "name": "politics",
      "@type": "propertyValue"
    },
    {
      "name": "relationship_status",
      "@type": "propertyValue"
    },
    {
      "name": "employed_full_time",
      "@type": "propertyValue"
    },
    {
      "name": "employed_part_time",
      "@type": "propertyValue"
    },
    {
      "name": "employed_self",
      "@type": "propertyValue"
    },
    {
      "name": "employed_looking",
      "@type": "propertyValue"
    },
    {
      "name": "employed_not_looking",
      "@type": "propertyValue"
    },
    {
      "name": "employed_homemaker",
      "@type": "propertyValue"
    },
    {
      "name": "employed_retired",
      "@type": "propertyValue"
    },
    {
      "name": "employed_student_part",
      "@type": "propertyValue"
    },
    {
      "name": "employed_student_full",
      "@type": "propertyValue"
    },
    {
      "name": "education",
      "@type": "propertyValue"
    },
    {
      "name": "studied_cs",
      "@type": "propertyValue"
    },
    {
      "name": "studied_econ",
      "@type": "propertyValue"
    },
    {
      "name": "studied_engineering",
      "@type": "propertyValue"
    },
    {
      "name": "studied_math",
      "@type": "propertyValue"
    },
    {
      "name": "studied_medicine",
      "@type": "propertyValue"
    },
    {
      "name": "studied_psych",
      "@type": "propertyValue"
    },
    {
      "name": "studied_phil",
      "@type": "propertyValue"
    },
    {
      "name": "studied_physics",
      "@type": "propertyValue"
    },
    {
      "name": "studied_humanities",
      "@type": "propertyValue"
    },
    {
      "name": "studied_social_science",
      "@type": "propertyValue"
    },
    {
      "name": "studied_other_science",
      "@type": "propertyValue"
    },
    {
      "name": "studied_vocational",
      "@type": "propertyValue"
    },
    {
      "name": "field",
      "@type": "propertyValue"
    },
    {
      "name": "referrer_self_report_ea_fb",
      "@type": "propertyValue"
    },
    {
      "name": "referrer_self_report_other_fb1",
      "@type": "propertyValue"
    },
    {
      "name": "referrer_self_report_other_fb2",
      "@type": "propertyValue"
    },
    {
      "name": "referrer_self_report_ea_newsletter",
      "@type": "propertyValue"
    },
    {
      "name": "referrer_self_report_ace",
      "@type": "propertyValue"
    },
    {
      "name": "referrer_self_report_gwwc",
      "@type": "propertyValue"
    },
    {
      "name": "referrer_self_report_friend",
      "@type": "propertyValue"
    },
    {
      "name": "referrer_self_report_lw",
      "@type": "propertyValue"
    },
    {
      "name": "referrer_self_report_local_group",
      "@type": "propertyValue"
    },
    {
      "name": "referrer_self_report_ssc",
      "@type": "propertyValue"
    },
    {
      "name": "took_last_year",
      "@type": "propertyValue"
    },
    {
      "name": "can_share_my_2017_donations",
      "@type": "propertyValue"
    },
    {
      "name": "can_share_my_lifetime_donations",
      "@type": "propertyValue"
    },
    {
      "name": "can_share_my_donation_plans",
      "@type": "propertyValue"
    },
    {
      "name": "can_share_cea_first_name",
      "@type": "propertyValue"
    },
    {
      "name": "no_share_with_cea_80k",
      "@type": "propertyValue"
    },
    {
      "name": "no_share_registry",
      "@type": "propertyValue"
    },
    {
      "name": "can_share_cea_last_name",
      "@type": "propertyValue"
    },
    {
      "name": "can_share_cea_email",
      "@type": "propertyValue"
    },
    {
      "name": "want_ea_newsletter",
      "@type": "propertyValue"
    },
    {
      "name": "can_share_profile",
      "@type": "propertyValue"
    },
    {
      "name": "can_share_profile_donations",
      "@type": "propertyValue"
    },
    {
      "name": "can_share_profile_donation_plans",
      "@type": "propertyValue"
    },
    {
      "name": "can_share_profile_location",
      "@type": "propertyValue"
    },
    {
      "name": "donate_RC_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_80K_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_cfar_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_miri_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_gf_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_ace_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_mfa_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_cea_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_dtw_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_gw_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_sci_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_gd_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_ef_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_amf_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_thl_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_lifetime",
      "@type": "propertyValue"
    },
    {
      "name": "how_feel_donate",
      "@type": "propertyValue"
    },
    {
      "name": "donation_kind_recurring",
      "@type": "propertyValue"
    },
    {
      "name": "donation_kind_eoy",
      "@type": "propertyValue"
    },
    {
      "name": "donation_on_demand",
      "@type": "propertyValue"
    },
    {
      "name": "cost_effectiveness_ratio",
      "@type": "propertyValue"
    },
    {
      "name": "ec_1",
      "@type": "propertyValue"
    },
    {
      "name": "pd_1",
      "@type": "propertyValue"
    },
    {
      "name": "pd_2",
      "@type": "propertyValue"
    },
    {
      "name": "ec_2",
      "@type": "propertyValue"
    },
    {
      "name": "pt_1",
      "@type": "propertyValue"
    },
    {
      "name": "pd_3",
      "@type": "propertyValue"
    },
    {
      "name": "pt_2",
      "@type": "propertyValue"
    },
    {
      "name": "maximizing_1",
      "@type": "propertyValue"
    },
    {
      "name": "maximizing_2",
      "@type": "propertyValue"
    },
    {
      "name": "maximizing_3",
      "@type": "propertyValue"
    },
    {
      "name": "maximizing_4",
      "@type": "propertyValue"
    },
    {
      "name": "maximizing_7",
      "@type": "propertyValue"
    },
    {
      "name": "search_1",
      "@type": "propertyValue"
    },
    {
      "name": "search_2",
      "@type": "propertyValue"
    },
    {
      "name": "search_7",
      "@type": "propertyValue"
    },
    {
      "name": "search_8",
      "@type": "propertyValue"
    },
    {
      "name": "search_9",
      "@type": "propertyValue"
    },
    {
      "name": "nfc_1",
      "@type": "propertyValue"
    },
    {
      "name": "nfc_3",
      "@type": "propertyValue"
    },
    {
      "name": "nfc_4",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_extraverted_1",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_conscientious_1",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_open_1",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_agreeable_2",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_emotionally_stable_2",
      "@type": "propertyValue"
    },
    {
      "name": "ea_id",
      "@type": "propertyValue"
    },
    {
      "name": "age",
      "@type": "propertyValue"
    },
    {
      "name": "currency",
      "@type": "propertyValue"
    },
    {
      "name": "donate_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "plan_donate_2018_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_RC_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_80K_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_cfar_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_miri_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_gf_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_ace_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_mfa_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_cea_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_dtw_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_sci_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_gd_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_ef_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_amf_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_thl_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_lifetime_c",
      "@type": "propertyValue"
    },
    {
      "name": "income_2017_household_c",
      "@type": "propertyValue"
    },
    {
      "name": "income_2017_individual_c",
      "@type": "propertyValue"
    },
    {
      "name": "p_donate_2017",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_animal_welfare_b",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_cause_prioritization_b",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_biosecurity_b",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_climate_change_b",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_nuclear_security_b",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_ai_b",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_mental_health_b",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_poverty_b",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_rationality_b",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_meta_b",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_xrisk_other_b",
      "@type": "propertyValue"
    },
    {
      "name": "gender_b",
      "@type": "propertyValue"
    },
    {
      "name": "veg_b",
      "@type": "propertyValue"
    },
    {
      "name": "left",
      "@type": "propertyValue"
    },
    {
      "name": "donate_cause_meta_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_cause_cause_pri_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_cause_poverty_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_cause_animal_welfare_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_cause_far_future_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "student",
      "@type": "propertyValue"
    },
    {
      "name": "search_subscale",
      "@type": "propertyValue"
    },
    {
      "name": "maximizing_subscale",
      "@type": "propertyValue"
    },
    {
      "name": "maximizing_scale",
      "@type": "propertyValue"
    },
    {
      "name": "nfc_2_r",
      "@type": "propertyValue"
    },
    {
      "name": "nfc_scale",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_extraverted_2_r",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_extraverted_scale",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_conscientious_2_r",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_conscientious_scale",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_agreeable_1_r",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_agreeable_scale",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_emotionally_stable_1_r",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_emotionally_stable_scale",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_open_2_r",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_open_scale",
      "@type": "propertyValue"
    },
    {
      "name": "ec_scale",
      "@type": "propertyValue"
    },
    {
      "name": "pd_scale",
      "@type": "propertyValue"
    },
    {
      "name": "pt_scale",
      "@type": "propertyValue"
    }
  ]
}`